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. 2020 Jan 13;2020:6438753. doi: 10.1155/2020/6438753

Table 3.

Logistic regression model predicting final HbA1C levels in 118 patients with hepatitis C and diabetes mellitus (n = 118).

Covariate (1) Reference variable (0) Estimate Chi square P value
Age -0.080 4.490 0.034
Gender Female 0.015 0.000 0.975
Race Black 0.413 0.560 0.453
Viral load -4.9e-8 0.460 0.497
Genotype 1 Non-1 -0.104 0.080 0.772
Moderate/severe chronic hepatitis Minimal/mild chronic hepatitis 0.474 0.960 0.326
Baseline serum ALT level -0.026 7.090 0.008
Baseline serum AST level 0.029 7.190 0.007
Baseline BMI -0.064 2.280 0.131
Pretreatment HbA1C 0.209 1.730 0.189
Severe fibrosis or cirrhosis No, mild, or significant fibrosis 0.066 0.020 0.889
Treatment with DAAs No treatment 1.609 25.12 <0.0001

P < 0.05. ALT: alanine aminotransferase; AST: aspartate aminotransferase; BMI: body mass index; DAAs: direct acting antiviral agents for HCV; HbA1C: hemoglobin A1C level (%); HCV: hepatitis C virus; P: probability.